554 search results - page 36 / 111 » Approximate Probabilistic Model Checking |
91
Voted
CDC
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper is focused on adapting symmetry reduction, a technique that is highly successful in traditional model checking, to stochastic hybrid systems. To that end, we first sho...
AMAI
2010
Springer
14 years 7 months ago
2010
Springer
Abstract We present a new approximate verification technique for falsifying the invariants of B models. The technique employs symmetry of B models induced by the use of deferred se...
NIPS
2004
14 years 11 months ago
2004
We propose a novel a framework for deriving approximations for intractable probabilistic models. This framework is based on a free energy (negative log marginal likelihood) and ca...
LICS
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper we introduce “clipping,” a new method of syntactic approximation which is motivated by and works in conjunction with a sound and decidable denotational model for...
96
Voted
NIPS
1998
14 years 11 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...